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Power Distribution in the Networks of Terrorist Groups: 2001–2018

Author

Listed:
  • Fuad Aleskerov

    (National Research University Higher School of Economics
    V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences)

  • Irina Gavrilenkova

    (National Research University Higher School of Economics)

  • Sergey Shvydun

    (National Research University Higher School of Economics
    V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences)

  • Vyacheslav Yakuba

    (National Research University Higher School of Economics
    V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences)

Abstract

Since 9/11, terrorism has become a global issue of the twenty-first century. Terrorist organizations become important actors of world politics as they gain influence on political process and decision-making. Some organizations compete with each other in order to gain more power and influence. We study the distribution of power among terrorist groups using network approach and applying classic and new centrality indices (Short-Range (SRIC) and Long-Range interactions indices (LRIC)). These indices allow to identify terrorist groups with direct and indirect influence on the terrorist network.

Suggested Citation

  • Fuad Aleskerov & Irina Gavrilenkova & Sergey Shvydun & Vyacheslav Yakuba, 2020. "Power Distribution in the Networks of Terrorist Groups: 2001–2018," Group Decision and Negotiation, Springer, vol. 29(3), pages 399-424, June.
    • Handle: RePEc:spr:grdene:v:29:y:2020:i:3:d:10.1007_s10726-020-09674-2
    DOI: 10.1007/s10726-020-09674-2
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    References listed on IDEAS

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    1. F. Aleskerov & N. Meshcheryakova & S. Shvydun, 2016. "Centrality measures in networks based on nodes attributes, long-range interactions and group influence," Papers 1610.05892, arXiv.org.
    2. Michael C. Horowitz & Philip B. K. Potter, 2014. "Allying to Kill," Journal of Conflict Resolution, Peace Science Society (International), vol. 58(2), pages 199-225, March.
    3. Fuad Aleskerov, 2006. "Power Indices Taking into Account Agents’ Preferences," Studies in Choice and Welfare, in: Bruno Simeone & Friedrich Pukelsheim (ed.), Mathematics and Democracy, pages 1-18, Springer.
    4. Fuad Aleskerov & Irina Andrievskaya & Elena Permjakova, 2014. "Key Borrowers Detected By The Intensities Of Their Short-range Interactions," HSE Working papers WP BRP 33/FE/2014, National Research University Higher School of Economics.
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